Latent profile analysis of depression among home-based old adults patients with stroke in China

Stroke is one of the chronic diseases that endanger the life and health of the old adults, which not only causes physical discomfort but also brings psychological burden to them (such as: anxiety, depression, etc.).In-depth analysis of the types of depression that may occur in old adults patients with stroke can provide a theoretical basis for formulating interventions to accurately reduce the depression level of old adults patients with stroke.In this study, the results of the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) were used as a data source, and latent profile analysis(LPA) was used to distinguish the types of depression in home-based stroke patients.The profile analysis divided the depression levels of 881 elderly stroke patients into low-level (13.0%), medium-level (52.0%), and high-level (35.0%).Multiple logistic regression showed that living in cities, hypertension and anxiety predicted high levels of depression in the comparison between the low-level and the high-level.The results of the study divided the depression level of home-based stroke patients into three potential profiles, which provided a theoretical basis for clinical nursing staff to formulate more detailed intervention plans.